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Exploring human activity patterns using taxicab static points
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Urban and regional planning/GIS-institute. Division of Geoinformatics, Royal Institute of Technology (KTH), Stockholm, Sweden.
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Urban and regional planning/GIS-institute.ORCID iD: 0000-0002-2337-2486
2012 (English)In: ISPRS International Journal of Geo-Information, ISSN 2220-9964, Vol. 1, no 1, p. 89-107Article in journal (Refereed) Published
Abstract [en]

This paper explores the patterns of human activities within a geographical space by adopting the taxicab static points which refer to the locations with zero speed along the tracking trajectory. We report the findings from both aggregated and individual aspects. Results from the aggregated level indicate the following: (1) Human activities exhibit an obvious regularity in time, for example, there is a burst of activity during weekend nights and a lull during the week. (2) They show a remarkable spatial drifting pattern, which strengthens our understanding of the activities in any given place. (3) Activities are heterogeneous in space irrespective of their drifting with time. These aggregated results not only help in city planning, but also facilitate traffic control and management. On the other hand, investigations on an individual level suggest that (4) activities witnessed by one taxicab will have different temporal regularity to another, and (5) each regularity implies a high level of prediction with low entropy by applying the Lempel-Ziv algorithm.

Place, publisher, year, edition, pages
2012. Vol. 1, no 1, p. 89-107
Keywords [en]
Entropy, Human activities, Regularity, Scaling, Static points (SPs)
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:hig:diva-12970DOI: 10.3390/ijgi1010089ISI: 000209465300006Scopus ID: 2-s2.0-84886248057OAI: oai:DiVA.org:hig-12970DiVA, id: diva2:555239
Projects
Hägerstrand project, Resemönster projectAvailable from: 2012-09-19 Created: 2012-09-19 Last updated: 2018-03-13Bibliographically approved

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Jia, TaoJiang, Bin

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Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
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  • Other style
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Language
  • sv-SE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
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